Genetics

Latest AI and machine learning research in genetics for healthcare professionals.

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Artificial intelligence in genetic services delivery: Utopia or apocalypse?

Artificial intelligence (AI) technologies have a long history, with increasing presence and potentia...

The complete chloroplast genome of , an important tropical crop.

(Willd. ex Spreng.) K. Schum., an economically important tree in the family Malvaceae, is native to...

Ranking of non-coding pathogenic variants and putative essential regions of the human genome.

A gene is considered essential if loss of function results in loss of viability, fitness or in disea...

Artificial intelligence in clinical and genomic diagnostics.

Artificial intelligence (AI) is the development of computer systems that are able to perform tasks t...

AGONOTES: A Robot Annotator for Argonaute Proteins.

The argonaute protein (Ago) exists in almost all organisms. In eukaryotes, it functions as a regulat...

Machine learning-based quantitative texture analysis of conventional MRI combined with ADC maps for assessment of IDH1 mutation in high-grade gliomas.

PURPOSE: To assess the performance of texture analysis of conventional magnetic resonance imaging (M...

Characterization of the complete chloroplast genome of sunflower family species (Compositae).

is a perennial medicinal plant belong the sunflower family Compositae, which is widely distributed ...

Genetic Variation in Cytochrome P450 2R1 and Vitamin D Binding Protein Genes are associated with Vitamin D Deficiency in Adolescents.

Genome Wide Association Studies (GWAS) have evaluated several genes related to vitamin D synthesis,...

A genetic programming-based approach to identify potential inhibitors of serine protease of .

We applied genetic programming approaches to understand the impact of descriptors on inhibitory eff...

CPEM: Accurate cancer type classification based on somatic alterations using an ensemble of a random forest and a deep neural network.

With recent advances in DNA sequencing technologies, fast acquisition of large-scale genomic data ha...

Gene expression based survival prediction for cancer patients-A topic modeling approach.

Cancer is one of the leading cause of death, worldwide. Many believe that genomic data will enable u...

WormBot, an open-source robotics platform for survival and behavior analysis in C. elegans.

Caenorhabditis elegans is a popular organism for aging research owing to its highly conserved molecu...

An improved deep learning method for predicting DNA-binding proteins based on contextual features in amino acid sequences.

As the number of known proteins has expanded, how to accurately identify DNA binding proteins has be...

Extractive single document summarization using binary differential evolution: Optimization of different sentence quality measures.

With the increase in the amount of text information in different real-life applications, automatic t...

A gastric cancer LncRNAs model for MSI and survival prediction based on support vector machine.

BACKGROUND: Recent studies have shown that long non-coding RNAs (lncRNAs) play a crucial role in the...

Characterization of the complete chloroplast genome of (Caprifoliaceae), a long history herb species plant from China.

is a common ornamental and medicinal plant in North America and East Asia. In this study, the compl...

Predicting rehospitalization within 2 years of initial patient admission for a major depressive episode: a multimodal machine learning approach.

Machine learning methods show promise to translate univariate biomarker findings into clinically use...

Application of Computational Biology and Artificial Intelligence Technologies in Cancer Precision Drug Discovery.

Artificial intelligence (AI) proves to have enormous potential in many areas of healthcare including...

Genome-wide prediction and prioritization of human aging genes by data fusion: a machine learning approach.

BACKGROUND: Machine learning can effectively nominate novel genes for various research purposes in t...

ARPNet: Antidepressant Response Prediction Network for Major Depressive Disorder.

Treating patients with major depressive disorder is challenging because it takes several months for ...

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